Instructions to use Ansu/qa_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ansu/qa_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ansu/qa_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ansu/qa_finetuned") model = AutoModelForQuestionAnswering.from_pretrained("Ansu/qa_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d56748907a24e5ccfcf4b4212b14a2adb51f055da9b7eb823e98e30b3086050e
- Size of remote file:
- 4.6 kB
- SHA256:
- 7f8eaa1693e4e818ffe4c72301a9fed5fc98d8b90a69650dc9659f0ef21f0d5e
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